DataCatalog
The DataCatalog resource lets you manage AWS Athena DataCatalogs for organizing and storing metadata about your data sources.
Minimal Example
Section titled “Minimal Example”Create a basic DataCatalog with required properties and a description:
import AWS from "alchemy/aws/control";
const basicDataCatalog = await AWS.Athena.DataCatalog("basicDataCatalog", { Name: "myDataCatalog", Type: "GLUE", // Assuming usage of AWS Glue as the catalog type Description: "A catalog for storing metadata of my datasets"});
Advanced Configuration
Section titled “Advanced Configuration”Configure a DataCatalog with additional options for parameters and tags:
const advancedDataCatalog = await AWS.Athena.DataCatalog("advancedDataCatalog", { Name: "advancedDataCatalog", Type: "GLUE", Description: "A catalog with advanced configuration", Parameters: { "catalogId": "123456789012", "compressionType": "GZIP" }, Tags: [ { Key: "Environment", Value: "Production" }, { Key: "Project", Value: "DataAnalytics" } ]});
Connection Type Example
Section titled “Connection Type Example”Create a DataCatalog with a specified connection type:
const connectionDataCatalog = await AWS.Athena.DataCatalog("connectionDataCatalog", { Name: "connectionDataCatalog", Type: "GLUE", Description: "Catalog with a connection type", ConnectionType: "JDBC"});
Error Handling Example
Section titled “Error Handling Example”Manage error states for a DataCatalog:
const errorHandlingDataCatalog = await AWS.Athena.DataCatalog("errorHandlingDataCatalog", { Name: "errorHandlingDataCatalog", Type: "GLUE", Description: "Catalog with error handling", Error: "No connection available"});